NLLP Talks

Informal multidisciplinary presentations and discussions of recent work

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The NLLP Talks series brings together researchers from academia and industry working at the intersection of law and NLP. The talks explore in depth recent research in this multidisciplinary space. By featuring presenters and discussants from complementary disciplines, the NLLP Talks series aims to further bridge law and computational linguistics.

The talks are scheduled every month on Fridays at 8am PST/11am EST/16 UK/17 CET time.

Please follow announcements of upcoming talks on Twitter or our Slack channel

Please reach out to the organizers if you wish to present in this series.

Past talks

Date: 1 April 2022

Title: In-group bias in the Indian judiciary: Evidence from 5 million criminal cases (Paper)

Speaker: Elliott Ash (ETH Zurich)

Discussant: Ashutosh Modi (IIT Kanpur)

Date: 17 December 2021

Title: Breaking Down Walls of Text: How can NLP Benefit Consumer Privacy (Paper)

Speaker: Abhilasha Ravichander (Carnegie Mellon University)

Discussant: Catalina Goanta (Maastricht University)

Date: 24 September 2021

Title: CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review (Paper)

Speaker: Dan Hendrycks (UC Berkeley)

Discussant: Mateusz Grochowski (Max Planck Institute for Comparative and International Law)

Date: 25 June 2021

Title: What about the Precedent: An Information-Theoretic Analysis of Common Law (Paper, Data & Models)

Speaker: Josef Valvoda (University of Cambridge)

Discussant: Michael Livermore (University of Virginia School of Law)

Date: 14 May 2021

Title: Cross-lingual Annotation Projection in Legal Texts (Paper)

Speakers: Andrea Galassi (University of Bologna), Kasper Drazewski (Bureau Europeen des Unions de Consommateurs)

Discussant: Monika Leszczynska (Maastricht University)

Date: 16 April 2021

Title: Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases (Paper)

Speaker: Ilias Chalkidis (Athens University of Economics and Business)

Discussant: Gijs van Dijck (Maastricht University)